import requests
import pandas as pd
from bs4 import BeautifulSoup
import time
from datetime import datetime
import json

class NewsDataCollector:
    def __init__(self, config):
        self.config = config
        self.headers = {
            'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36'
        }
        
    def get_financial_news(self, source='sina', limit=50):
        """获取财经新闻"""
        if source == 'sina':
            return self._get_sina_finance_news(limit)
        elif source == 'eastmoney':
            return self._get_eastmoney_news(limit)
        # 可添加更多新闻源
            
    def _get_sina_finance_news(self, limit):
        """获取新浪财经新闻"""
        url = 'https://finance.sina.com.cn/roll/index.d.html'
        response = requests.get(url, headers=self.headers)
        soup = BeautifulSoup(response.content, 'html.parser')
        
        news_list = []
        # 实现新浪财经网站的爬取逻辑
        # ...
        
        return pd.DataFrame(news_list)
    
    def _get_eastmoney_news(self, limit):
        """获取东方财富网新闻"""
        url = 'https://finance.eastmoney.com/a/cgnjj.html'
        # 实现东方财富网站的爬取逻辑
        # ...
        
        return pd.DataFrame(news_list)
    
    def get_stock_announcements(self, stock_code):
        """获取股票公告"""
        # 使用Tushare获取公告信息
        # ...
        
        return announcements_df
    
    def get_social_sentiment(self, stock_code):
        """获取社交媒体情绪"""
        # 实现从雪球、东方财富股吧等获取情绪数据
        # ...
        
        return sentiment_df 